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Jingjing Yin

Biographic Data

ID6943197
NAMEJingjing Yin
GIVEN NAMESJingjing
FAMILY NAMEYin
SIGNATUREYIN J
AFFILIATIONSGeorgia Southern University
ORCID0000-0002-4400-9897
VERIFIEDYes
TOTAL WORKS10
TOTAL CITATIONS0
WORKS AS AUTHOR10
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Aligning healthier diets with water efficiency through trade integration in African food systems

    Open Access•Alexandre Tuyishimire, Jingjing Yin et al.•ARTICLE•Sustainable Production and…•2026

  • Childhood Asthma-Management Practices in Rural Nigeria

    Open Access•Oyindamola Akinso, Atin Adhikari et al.•ARTICLE•Children•2023

    Background: Caregivers of asthmatic children have a poor knowledge of proper asthma-management practices in Nigeria. This study examined the knowledge, attitudes, and practice behaviors of caregivers in the management of asthma in children under 5 years of age in Oyo State, Nigeria. Methods: While a mixed method was used in the original research, this brief describes the quantitative method used in this study to evaluate caregivers' asthma-manage…

  • Air Quality and Cancer Prevalence Trends across the Sub-Saharan African Regions during 2005–2020

    Open Access•Omolola Okunromade, Jingjing Yin et al.•ARTICLE•International Journal of…•2022

    Poor air quality and environmental pollution remain some of the main etiological factors leading to cancers and cancer-related deaths worldwide. As a result of human activities, deleterious airborne chemicals can be dispersed not only in the environment but also released in occupational environments and industrial areas. Air pollutants and cancer links are now established through various oxidative stress-related mechanisms and related DNA damages…

  • Aggregating Twitter Text through Generalized Linear Regression Models for Tweet Popularity Prediction and Automatic Topic Classification

    Open Access•Chen Mo, Jingjing Yin et al.•ARTICLE•European Journal of Investigation…•2021

    Social media platforms have become accessible resources for health data analysis. However, the advanced computational techniques involved in big data text mining and analysis are challenging for public health data analysts to apply. This study proposes and explores the feasibility of a novel yet straightforward method by regressing the outcome of interest on the aggregated influence scores for association and/or classification analyses based on g…

  • Public Health Employees’ Perceptions about the Impact of Emerging Public Health Trends on Their Day-to-Day Work

    Open Access•Kristie C Waterfield, Gulzar H Shah et al.•ARTICLE•International Journal of…•2021

    Objective : The purpose of this research was to assess the workforce characteristics associated with public health employees' perceived impact of emerging trends in public health on their day-to-day work. Methods : Multinomial logistic regression was performed to analyze data from the 2017 PH WINS, a cross-sectional survey utilizing a nationally representative sample of the United States public health workforce. Results : More than 55% of the pub…

  • Conversing or Diffusing Information

    Open Access•Lauren Bayliss, Yuner Zhu et al.•ARTICLE•The Journal of Public Interest…•2021•References: 9

    This study examines the one-way information diffusion and two-way dialogic engagement present in public health Twitter chats. Network analysis assessed whether Twitter chats adhere to one of the key principles for online dialogic communication, the dialogic loop (Kent & Taylor, 1998) for four public health-related chats hosted by CDC Twitter accounts. The features of the most retweeted accounts and the most retweeted tweets also were examined. Th…

  • Unplanned Closure of Public Schools in Michigan, 2015‐2016

    Open Access•A Jackson, Ashley M Jackson et al.•ARTICLE•Journal of School Health•2020

    BACKGROUND: For pandemic preparedness, researchers used online systematic searches to track unplanned school closures (USCs). We determine if Twitter provides complementary data. METHODS: Twitter handles of Michigan public schools and school districts were identified. All tweets associated with these handles were downloaded. USC-related tweets were identified using 5 keywords. Descriptive statistics and multivariable logistic regression were perf…

  • Short-Term Effects of Ambient Ozone, PM2.5, and Meteorological Factors on Covid-19 Confirmed Cases and Deaths in Queens, New York

    Open Access•Atin Adhikari, Jingjing Yin•ARTICLE•International Journal of…•2020

    The outbreak of coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, has been rapidly increasing in the United States. Boroughs of New York City, including Queens county, turn out to be the epicenters of this infection. According to the data provided by the New York State Department of Health, most of the cases of new COVID-19 infections in New York City have been found in the Queens county where 42,023 people have tested positive…

  • Issue of Compliance with Use of Personal Protective Equipment among Wastewater Workers across the Southeast Region of the United States

    Open Access•Tamara Wright, Atin Adhikari et al.•ARTICLE•International Journal of…•2019

    Wastewater workers are exposed to different occupational hazards such as chemicals, gases, viruses, and bacteria. Personal protective equipment (PPE) is a significant factor that can reduce or decrease the probability of an accident from hazardous exposures to chemicals and microbial contaminants. The purpose of this study was to examine wastewater worker's beliefs and practices on wearing PPE through the integration of the Health Belief Model (H…

  • How did Ebola information spread on twitter

    Open Access•Hai Liang, Isaac Chun‐Hai Fung et al.•ARTICLE•BMC Public Health•2019

    Broadcasting was the dominant mechanism of information diffusion of a major health event on Twitter. It suggests that public health communicators can work beneficially with influential and hidden influential users to get the message across, because influential and hidden influential users can reach more people that are not following the public health Twitter accounts. Although both influential users and hidden influential users can trigger many r…

No prominent works on this page.

  • Issue of Compliance with Use of Personal Protective Equipment among Wastewater Workers across the Southeast Region of the United States

    Open Access•Tamara Wright, Atin Adhikari et al.•ARTICLE•International Journal of…•2019

    Wastewater workers are exposed to different occupational hazards such as chemicals, gases, viruses, and bacteria. Personal protective equipment (PPE) is a significant factor that can reduce or decrease the probability of an accident from hazardous exposures to chemicals and microbial contaminants. The purpose of this study was to examine wastewater worker's beliefs and practices on wearing PPE through the integration of the Health Belief Model (H…

  • How did Ebola information spread on twitter

    Open Access•Hai Liang, Isaac Chun‐Hai Fung et al.•ARTICLE•BMC Public Health•2019

    Broadcasting was the dominant mechanism of information diffusion of a major health event on Twitter. It suggests that public health communicators can work beneficially with influential and hidden influential users to get the message across, because influential and hidden influential users can reach more people that are not following the public health Twitter accounts. Although both influential users and hidden influential users can trigger many r…

  • Unplanned Closure of Public Schools in Michigan, 2015‐2016

    Open Access•A Jackson, Ashley M Jackson et al.•ARTICLE•Journal of School Health•2020

    BACKGROUND: For pandemic preparedness, researchers used online systematic searches to track unplanned school closures (USCs). We determine if Twitter provides complementary data. METHODS: Twitter handles of Michigan public schools and school districts were identified. All tweets associated with these handles were downloaded. USC-related tweets were identified using 5 keywords. Descriptive statistics and multivariable logistic regression were perf…

  • Short-Term Effects of Ambient Ozone, PM2.5, and Meteorological Factors on Covid-19 Confirmed Cases and Deaths in Queens, New York

    Open Access•Atin Adhikari, Jingjing Yin•ARTICLE•International Journal of…•2020

    The outbreak of coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, has been rapidly increasing in the United States. Boroughs of New York City, including Queens county, turn out to be the epicenters of this infection. According to the data provided by the New York State Department of Health, most of the cases of new COVID-19 infections in New York City have been found in the Queens county where 42,023 people have tested positive…

  • Aggregating Twitter Text through Generalized Linear Regression Models for Tweet Popularity Prediction and Automatic Topic Classification

    Open Access•Chen Mo, Jingjing Yin et al.•ARTICLE•European Journal of Investigation…•2021

    Social media platforms have become accessible resources for health data analysis. However, the advanced computational techniques involved in big data text mining and analysis are challenging for public health data analysts to apply. This study proposes and explores the feasibility of a novel yet straightforward method by regressing the outcome of interest on the aggregated influence scores for association and/or classification analyses based on g…

  • Public Health Employees’ Perceptions about the Impact of Emerging Public Health Trends on Their Day-to-Day Work

    Open Access•Kristie C Waterfield, Gulzar H Shah et al.•ARTICLE•International Journal of…•2021

    Objective : The purpose of this research was to assess the workforce characteristics associated with public health employees' perceived impact of emerging trends in public health on their day-to-day work. Methods : Multinomial logistic regression was performed to analyze data from the 2017 PH WINS, a cross-sectional survey utilizing a nationally representative sample of the United States public health workforce. Results : More than 55% of the pub…

  • Conversing or Diffusing Information

    Open Access•Lauren Bayliss, Yuner Zhu et al.•ARTICLE•The Journal of Public Interest…•2021•References: 9

    This study examines the one-way information diffusion and two-way dialogic engagement present in public health Twitter chats. Network analysis assessed whether Twitter chats adhere to one of the key principles for online dialogic communication, the dialogic loop (Kent & Taylor, 1998) for four public health-related chats hosted by CDC Twitter accounts. The features of the most retweeted accounts and the most retweeted tweets also were examined. Th…

  • Air Quality and Cancer Prevalence Trends across the Sub-Saharan African Regions during 2005–2020

    Open Access•Omolola Okunromade, Jingjing Yin et al.•ARTICLE•International Journal of…•2022

    Poor air quality and environmental pollution remain some of the main etiological factors leading to cancers and cancer-related deaths worldwide. As a result of human activities, deleterious airborne chemicals can be dispersed not only in the environment but also released in occupational environments and industrial areas. Air pollutants and cancer links are now established through various oxidative stress-related mechanisms and related DNA damages…

  • Childhood Asthma-Management Practices in Rural Nigeria

    Open Access•Oyindamola Akinso, Atin Adhikari et al.•ARTICLE•Children•2023

    Background: Caregivers of asthmatic children have a poor knowledge of proper asthma-management practices in Nigeria. This study examined the knowledge, attitudes, and practice behaviors of caregivers in the management of asthma in children under 5 years of age in Oyo State, Nigeria. Methods: While a mixed method was used in the original research, this brief describes the quantitative method used in this study to evaluate caregivers' asthma-manage…

  • Aligning healthier diets with water efficiency through trade integration in African food systems

    Open Access•Alexandre Tuyishimire, Jingjing Yin et al.•ARTICLE•Sustainable Production and…•2026

Medicine (8 works) · Environmental health (4 works) · Computer Science (3 works) · Disease (3 works) · Infectious disease (medical specialty (3 works) · Nursing (3 works) · Political science (3 works) · Psychology (3 works) · Public health (3 works) · Social media (3 works)

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